Alternatives and similar repositories for Pytorch-Deep-Neural-Networks

Users that are interested in Pytorch-Deep-Neural-Networks are comparing it to the libraries listed below

• rz0718 / MHMS_DEEPLEARNING
  ☆94Updated 4 years ago
• CLaraRR / autoencoder_practice
  AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
  ☆41Updated 5 years ago
• strongnine / Series2Image
  Encoding time series as images using GAF operation by pyts.
  ☆227Updated 3 years ago
• LiangjunFeng / Broad-Learning-System
  BLS Code
  ☆126Updated 6 years ago
• meitetsu3 / 1DCNN
  Explanation of 1D CNN
  ☆58Updated 6 years ago
• LixiangHan / GANs-for-1D-Signal
  implementation of several GANs with pytorch
  ☆159Updated 3 years ago
• fish-kong / CSDN-code-link
  由于CSDN博客里面不能直接上代码链接，涉嫌营销推广，因此建一个github仓库用于整理这些代码链接
  ☆153Updated 2 years ago
• starhou / One-dimensional-GAN
  用GAN生成一维数据
  ☆123Updated 5 years ago
• yyxyz / CaseWesternReserveUniversityData
  ☆140Updated 7 years ago
• cingtiye / Basic-time-domain-and-frequency-domain-features-of-signals
  ☆33Updated 5 years ago
• zhangxu0307 / stack-autoencoder
  This is stack autoencoder (SAE) implemented by Pytorch
  ☆25Updated 7 years ago
• zangzelin / Auto-encoder-AE-SAE-DAE-CAE-DAE-with-keras-in-Mnist-and-report
  ☆54Updated 6 years ago
• cathysiyu / Mechanical-datasets
  ☆273Updated 7 years ago
• Litchiware / cwru
  ☆168Updated 3 years ago
• shiluqiang / WLSSVM_python
  Weighted LSSVM for regression
  ☆38Updated 6 years ago
• zhao62 / Deep-Residual-Shrinkage-Networks
  The deep residual shrinkage network is a variant of deep residual networks.
  ☆483Updated 2 weeks ago
• beifengchuizoudemeng / CWRU
  ☆105Updated 6 years ago
• flrngel / TCN-with-attention
  Character based Temporal Convolutional Networks + Attention Layer
  ☆167Updated 7 years ago
• CSU-IILab / DNN-CCA
  Deep neural network aided canonical correlation analysis (DNN-CCA) in Tensorflow and Keras
  ☆14Updated 4 years ago
• wblgers / tensorflow_stacked_denoising_autoencoder
  Implementation of the stacked denoising autoencoder in Tensorflow
  ☆205Updated 7 years ago
• RamanHacks / Fault-Diagnosis
  Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks
  ☆41Updated 6 years ago
• zhangqingqingq / Fault-diagnosis-based-on-LSTM
  TE data diagnosis using pytorch
  ☆20Updated 6 years ago
• wangfin / SSLDPCA-IL-FaultDetection
  Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection（基于半监督密度聚类+增量学习的故障诊断）
  ☆84Updated 3 years ago
• zhaoyuzhi / A-New-Convolutional-Neural-Network-Based-Data-Driven-Fault-Diagnosis-Method
  TensorFlow implementation of a CNN based mechanical science paper
  ☆46Updated 7 years ago
• camaramm / tennessee-eastman-profBraatz
  The Fortran 77 codes for the open-loop and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training a…
  ☆153Updated 3 years ago
• Nana0606 / autoencoder
  个人练习，自编码器及其变形（理论+实践）
  ☆340Updated 6 years ago
• realWang-Wei / BroadLearningSystem
  here is the introduce of bls
  ☆70Updated 4 years ago
• zhangxiaoling / Bearing-fault-detection
  轴承故障检测 训练赛第30名代码
  ☆131Updated 6 years ago
• Jaxcute / 1DCNN
  一维卷积神经网络
  ☆41Updated 6 years ago
• wkzs111 / phm-ieee-2012-data-challenge-dataset
  Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute
  ☆138Updated 7 years ago